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In conclusion, both CART Decision Tree models achieved acceptable predictive accuracy and can serve as suitable foundations for further development. However, the cost-sensitive approach is highly recommended for future research due to its proven ability to provide the telecommunication company with tangible cost savings despite possible prediction errors in detecting fraud. A revision or resample of the training and testing datasets, possibly considering other call features not currently studied, may also assist in achieving a refined model performance. |